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Description
A common challenge faced by students is that they often have questions about course material that they cannot ask during lecture time. There are many ways for students to have these questions answered, such as office hours and online discussion boards. However, office hours may be at inconvenient times or locations, and online discussion boards are difficult to navigate and may be inactive. The purpose of this project was to create an Alexa skill that allows users to ask their Alexa-equipped device a question concerning their course material and to receive an answer retrieved from discussion board data. User questions are mapped to discussion board posts by use of the cosine similarity algorithm. In this algorithm, posts from the discussion board and the user’s question are converted into mathematical vectors, with each term in the vector corresponding to a word. The values of these terms are computed based on the word’s frequency within the vector’s corresponding document, the frequency of that word within all the documents, and the length of the document. After the question and candidate posts are converted into vectors, the algorithm determines the post most similar to the user’s question by computing the angle between the vectors. With the most similar discussion board post determined, the user receives the replies to the post, if any, as their answer. Users are able to indicate to their Alexa device whether they were satisfied by the answer, and if they were unsatisfied then they are given the opportunity to either rephrase their question or to have the question sent to a database of unanswered questions. The professor can view and answer the questions in this database on a website hosted by use of Amazon’s Simple Storage Service. The Alexa skill does well at answering questions that have already been asked in the discussion board. However, the skill depends heavily on the user’s word choice. Two questions that are semantically identical but different in phrasing are often given different answers. This is because the cosine algorithm measures similarity on the basis of word overlap, not semantic meaning, and thus the application never truly “understands” what type of answer the user desires. Improving the performance of this Alexa skill will require a more advanced question answering algorithm, but the limitations of Amazon Web Services as a development platform make implementing such an algorithm difficult. Nevertheless, this project has created the basis of a question answering Alexa skill by demonstrating a feasible way that the resources offered by Amazon can be utilized in order to build such an application.
ContributorsBaker, Matthew Elias (Author) / Chen, Yinong (Thesis director) / Balasooriya, Janaka (Committee member) / Historical, Philosophical & Religious Studies (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The African Continental Free Trade Agreement is one of the latest developments in the world of African politics. It influences several key policy arenas, including the focus of this paper: developmental policy. The AfCFTA hopes to integrate the intra-African trading system, as well as implement several measures to integrate their entire economies. This paper examines the intersection between the AfCFTA and developmental policy defining how it helps and hinders African development goals. This thesis intends to give a clear picture of how this agreement coincides with developmental policy through both economic and political research. The goal of this paper is to provide readers with a detailed report on how this economic agreement could be shaping the developmental policy of the African world.
ContributorsZeleny, Dylan Peter (Author) / Wong, Kelvin (Thesis director) / Hill, Alexander (Committee member) / Historical, Philosophical & Religious Studies (Contributor) / Department of Economics (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
While some stress during pregnancy is normal, continuous stress during pregnancy could have negative lasting impacts on a child’s health. The type of stress that is harmful during pregnancy is “the kind that doesn’t let up” (Watson). This type of stress is chronic and is more intense than the normal stresses of everyday life. Researchers have shown that when fetuses are continuously exposed to such levels of stress, their bodies react in unhealthy ways. Given all the data showing that varying stressors experienced by pregnant women negatively affect their children’s postnatal health and development, it is important to identify the specific impacts of these stressors in order to understand how they affect the health of children.
By conducting a literature review, I have found a number of studies reporting links between a pregnant woman’s stress and the development of health issues in her child. For example, researchers of one study found that infants born to women who were depressed during pregnancy had early brain development issues and difficulty regulating emotions and stress (Hayes, et. al). In another study, researchers observed a positive association between maternal anxiety during pregnancy and asthma in offspring (Cookson, et. al). Such findings indicate the significance of the prenatal period in healthy child development. However, while we may suspect that there are some negative outcomes for children born to chronically stressed women, there was interestingly a lack of information in areas where we may expect to find effects on the child. This gap in the literature indicates that we do not fully understand the effects of stress during pregnancy, and it seems that we do not know what really seems important to know about mental health during pregnancy. Thus, the results reflect that the existing knowledge in this area is lacking, making it challenging for medical specialists to understand how they may best intervene in order to promote the healthiest pregnancies and children.
By conducting a literature review, I have found a number of studies reporting links between a pregnant woman’s stress and the development of health issues in her child. For example, researchers of one study found that infants born to women who were depressed during pregnancy had early brain development issues and difficulty regulating emotions and stress (Hayes, et. al). In another study, researchers observed a positive association between maternal anxiety during pregnancy and asthma in offspring (Cookson, et. al). Such findings indicate the significance of the prenatal period in healthy child development. However, while we may suspect that there are some negative outcomes for children born to chronically stressed women, there was interestingly a lack of information in areas where we may expect to find effects on the child. This gap in the literature indicates that we do not fully understand the effects of stress during pregnancy, and it seems that we do not know what really seems important to know about mental health during pregnancy. Thus, the results reflect that the existing knowledge in this area is lacking, making it challenging for medical specialists to understand how they may best intervene in order to promote the healthiest pregnancies and children.
ContributorsKeller, Carrie Angelique (Author) / Maienschein, Jane (Thesis director) / Abboud, Carolina (Committee member) / Historical, Philosophical & Religious Studies (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05